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Record W4245891041 · doi:10.32920/ryerson.14646096

The role of heritage in new development: conserving city identity

2021· preprint· en· W4245891041 on OpenAlexaboutno aff
Samira Kalali

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsPrideIdentity (music)CommonsIndustrial heritageValue (mathematics)Character (mathematics)Cultural heritageSociologyPolitical scienceGeographyEconomic growthHistoryArchaeologyAestheticsCultural heritage managementLaw

Abstract

fetched live from OpenAlex

Garrison Commons, known today as Liberty Village, can be identified as one of the most important historic industrial districts in the west end of Toronto, due to high density and strong character of a great number of manufacturing buildings from late 19th and early 20th centuries. The purpose of this thesis is to focus on heritage value of the industrial character of Liberty Village in Toronto and, by proposing and re-programming and new sensitive re-development for the historic site, to introduce a way for a rapid growing contemporary city to develop its fast changing identity without losing the historical and cultural past. The second objective of this thesis (that may have become the primary focus of the design exploration) is to revitalize and enhance public life in the somewhat forgotten neighborhood of South Parkdale. Adjacent to industrial in its character Liberty Village, lays one of the oldest Toronto neighborhoods - South Parkdale - and underprivileged residential community of low socio-economic status, presently lacking public amenities, the community that lost its pride and is missing an identity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.023
Scholarly communication0.0120.004
Open science0.0010.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.250
Teacher spread0.144 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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